Satellite telemetry data clustering method based on time series special points

Abstract

The invention provides a satellite telemetry data clustering method based on time series special point. The satellite telemetry data clustering method comprises steps that step1, a Zscore algorithm is used for preprocessing of an original time series set X=(x1, x2...Xl); step2, an SPSegmentation segmentation expression method is used to extract all of special points of every original time series Xi to form a special point series SPSi=(xi(tp1), xi(tp2).. .xi(tpk)), which is used to replace the original series to be used as clustering input; step3, the corresponding time position supplementing and aligning processing of any two special point series SPSi and SPSj is carried out, and then the time positions of the special points of the sequences corresponding to the various elements of the two SPS on an original time axis are aligned with each other; step 4, the similarity coefficient calculation of the aligned special point series is carried out, and because the sequence aligning is carried out, most of similarity measurement calculations are usable, and finally, a PSPS_Dist similarity matrix is acquired; step 5, an agglomerative hierarchical clustering algorithm is adopted to realize time series clustering.

Description

technical field [0001] The invention relates to a satellite telemetry data clustering method based on special points in time series, and belongs to the technical field of time series clustering methods. Background technique [0002] Satellite telemetry data is the only basis for satellite working status and health status that operation managers can obtain during satellite in-orbit operation. Automated and intelligent analysis of satellite telemetry data using methods such as data mining and machine learning is of great value for on-orbit operation, maintenance and health management of satellites, and is currently a hot and challenging issue in the field of aerospace research at home and abroad. However, the analysis of existing satellite telemetry data is mostly based on manual labeling, and it is difficult to complete the labeling of large amounts of data without automatic intelligent labeling means. Contents of the invention [0003] The purpose of the present invention...

AI Technical Summary

Problems solved by technology

However, the analysis of existing satellite telemetry data is mostly based on manual labeling, and it is difficult to complete the labeling of large amounts of data without automatic intelligent labeling means.

Images